(19)
(11) EP 2 400 416 A3

(12) EUROPEAN PATENT APPLICATION

(88) Date of publication A3:
17.07.2013 Bulletin 2013/29

(43) Date of publication A2:
28.12.2011 Bulletin 2011/52

(21) Application number: 11181876.1

(22) Date of filing: 20.03.2008
(51) International Patent Classification (IPC): 
G06F 19/00(2011.01)
(84) Designated Contracting States:
AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MT NL NO PL PT RO SE SI SK TR
Designated Extension States:
AL BA MK RS

(30) Priority: 20.03.2007 US 688639

(62) Application number of the earlier application in accordance with Art. 76 EPC:
08250986.0 / 2031534

(71) Applicant: LifeScan, Inc.
Milpitas, CA 95035 (US)

(72) Inventors:
  • Pinaki, Ray
    Fremont, CA California 94539 (US)
  • Matian, Greg
    Foster City, CA California 94404 (US)
  • Srinivasan, Aparna
    San Jose, CA California 95136 (US)
  • Robbard, David
    Potomac, MD Maryland 20854 (US)
  • Price, David, Dr
    Pleasanton, CA California 94566 (US)

(74) Representative: Brunner, John Michael Owen 
Carpmaels & Ransford One Southampton Row
London WC1B 5HA
London WC1B 5HA (GB)

   


(54) Systems and methods for pattern recognition in diabetes management


(57) A diabetes management system or process is provided herein that may be used to analyze and recognize patterns for a large number of blood glucose concentration measurements and other physiological parameters related to the glycemia of a patient. In particular, a method of monitoring glycemia in a patient may include storing a patient's data on a suitable device, such as, for example, a blood glucose meter. The patient's data may include blood glucose concentration measurements. The diabetes management system or process may be installed on, but is not limited to, a personal computer, an insulin pen, an insulin pump, or a glucose meter. The diabetes management system or process may identify a plurality of pattern types from the data including a testing/dosing pattern, a hypoglycemic pattern, a hyperglycemic pattern, a blood glucose variability pattern, and a comparative pattern. After identifying a particular pattern with the data management system or process, a warning message may be displayed on a screen of a personal computer or a glucose meter. Other messages can also be provided to ensure compliance of any prescribed diabetes regiments or to guide the patient in managing the patient's diabetes.





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